Parameter Identification of Induction Motor Based on Forensic-Based Investigation Algorithm

Induction motor is widely used in industrial applications. The parameters identification of these machines is an essential requirement for predicting, controlling, and analyzing their performance. In this paper, a new application of the Forensic-Based Investigation (FBI) algorithm for parameter estimation of induction motor is proposed. The selection of the FBI is due to its simplicity, consuming less time, and does not require predefined operating parameters. Minimization of the difference between the calculated and standard manufacturer data is used as an objective function. Standard manufacturer data consist of starting torque, full load torque, maximum torque, starting current, full load current, and full load power factor. Based on the steady-state equivalent circuit, the circuit parameters are calculated. The FBI results are compared with those obtained by PSO, DE, GAs, SFLA, and MSFLA in order to prove its high accuracy. The results obtained show that the proposed approach has superior performance in estimating the equivalent circuit parameters of the induction motor.